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Profiling nursing homes using Bayesian hierarchical modeling
Quantitative Health Sciences Publications and Presentations
  • Dan R. Berlowitz, Bedford Veterans Affairs Medical Center
  • Cindy L. Christiansen, Bedford Veterans Affairs Medical Center
  • Gary H. Brandeis, Boston University
  • Arlene S. Ash, University of Massachusetts Medical School
  • Boris Kader, Boston University
  • John N. Morris, Hebrew Rehabilitation Center for Aged
  • Mark A. Moskowitz, Boston University
UMMS Affiliation
Department of Quantitative Health Sciences
Publication Date
Document Type
Bayes Theorem; Benchmarking; Homes for the Aged; Humans; Nursing Homes; Observation; Pressure Ulcer; Quality Indicators, Health Care
OBJECTIVES: New methods developed to improve the statistical basis of provider profiling may be particularly applicable to nursing homes. We examine the use of Bayesian hierarchical modeling in profiling nursing homes on their rate of pressure ulcer development. DESIGN: Observational study using Minimum Data Set data from 1997 and 1998. SETTING: A for-profit nursing home chain. PARTICIPANTS: Residents of 108 nursing homes who were without a pressure ulcer on an index assessment. MEASUREMENTS: Nursing homes were compared on their performance on risk-adjusted rates of pressure ulcer development calculated using standard statistical techniques and Bayesian hierarchical modeling. RESULTS: Bayesian estimates of nursing home performance differed considerably from rates calculated using standard statistical techniques. The range of risk-adjusted rates among nursing homes was 0% to 14.3% using standard methods and 1.0% to 4.8% using Bayesian analysis. Fifteen nursing homes were designated as outliers based on their z scores, and two were outliers using Bayesian modeling. Only one nursing home had greater than a 50% probability of having a true rate of ulcer development exceeding 4%. CONCLUSIONS: Bayesian hierarchical modeling can be successfully applied to the problem of profiling nursing homes. Results obtained from Bayesian modeling are different from those obtained using standard statistical techniques. The continued evaluation and application of this new methodology in nursing homes may ensure that consumers and providers have the most accurate information regarding performance.
DOI of Published Version
J Am Geriatr Soc. 2002 Jun;50(6):1126-30. Link to article on publisher's site
PubMed ID
Related Resources
Link to Article in PubMed
Citation Information
Dan R. Berlowitz, Cindy L. Christiansen, Gary H. Brandeis, Arlene S. Ash, et al.. "Profiling nursing homes using Bayesian hierarchical modeling" Vol. 50 Iss. 6 (2002) ISSN: 0002-8614 (Linking)
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